TreeBASIS Feature Descriptor and Its Hardware Implementation [PDF]
International Journal of Reconfigurable Computing, 2014 This paper presents a novel feature descriptor called TreeBASIS that provides improvements in descriptor size, computation time, matching speed, and accuracy.
Spencer Fowers +4 more
doaj +2 more sources
Asynchronous event feature generation and tracking based on gradient descriptor for event cameras
International Journal of Advanced Robotic Systems, 2021 Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li +4 more
doaj +1 more source
Build a Robust Learning Feature Descriptor by Using a New Image Visualization Method for Indoor Scenario Recognition [PDF]
Sensors, 2017 Jichao Jiao
exaly +2 more sources
PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching
Sensors, 2021 Three-dimensional feature description for a local surface is a core technology in 3D computer vision. Existing descriptors perform poorly in terms of distinctiveness and robustness owing to noise, mesh decimation, clutter, and occlusion in real scenes ...
Lang Wu +6 more
doaj +1 more source
A novel method for SIFT features matching based on feature dimension matching degree [PDF]
MATEC Web of Conferences, 2019 We proposes a method for fast matching SIFT feature points based on SIFT feature descriptor vector element matching. First, we discretize each dimensional feature element into an array address based on a fixed threshold value and store the corresponding ...
Yang Yao +3 more
doaj +1 more source
Global Context Descriptors for SURF and MSER Feature Descriptors [PDF]
2010 Canadian Conference on Computer and Robot Vision, 2010 Global context descriptors are vectors of additional information appended to an existing descriptor, and are computed as a log-polar histogram of nearby curvature values. These have been proposed in the past to make Scale Invariant Feature Transform (SIFT) matching more robust. This additional information improved matching results especially for images
Gail Carmichael +2 more
openaire +1 more source
Binary Descriptor for Images Based on Adaboost [PDF]
Jisuanji gongcheng, 2016 Classic descriptors such as Scale Invariant Feature Transform(SIFT) and Speeded up Robust Feature(SURF) have some drawbacks in storage capacity and parameter adaptive learning,so a binary descriptor for images based on Adaboost is proposed,which can ...
LU Lai,WANG Junmin,FAN Rui
doaj +1 more source
A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms
IEEE Access, 2018 An effective feature descriptor is important for the 3-D object recognition and reconstruction. This paper presents a novel 3-D Frame-signature of histograms of orientation (SHOT) descriptor which combines the global structural frame with local surface ...
Zhiqiang Shen, Xin Ma, Yibin Li
doaj +1 more source
Precise Pitch Control in Real Time Corpus-Based Concatenative Synthesis [PDF]
, 2012 The need for fine-tuned microtonal pitch combined with the timbral richness of corpus-based concatenative synthesis has led to the development of a new tool for corpus-based pitch and loudness control in real time with CATART.
Trapani, Christopher +8 more
core +4 more sources
Local Property of Depth Information in 3D Images and Its Application in Feature Matching
Mathematics, 2023 In image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints.
Erbing Yang +4 more
doaj +1 more source